Overview:
On 05/14/26 mitchelschwindt.com scored 38% — **Weak** – Overall, this site has a solid foundation, but a few key signals are still coming through as unclear for AI-driven visibility.
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - The site's technical foundation is solid and bot-friendly, but it's currently missing descriptive alt text for images and dedicated media sitemaps.
- Structured Data: 33% - The site has a good foundation with error-free website schema, but it's currently missing the organization and author-level details that help search engines connect the dots.
- AI Readiness: 67% - The site is technically well-prepared for AI discovery with a healthy sitemap and open crawler access, though it lacks a Wikidata entity to anchor its brand identity.
- Performance: 17% - Mobile performance is currently held back by significant loading delays and responsiveness issues, though the visual stability of the page is excellent.
- Reputation: 12% - The site correctly links to its major social profiles, but most other brand trust and identity signals could not be verified due to missing consensus data in the audit packet.
- LLM-Ready Content: 32% - The page structure is poorly optimized for AI extraction due to a lack of descriptive subheadings, missing timestamps, and fragmented content chunks.
Where things stand overall
The main takeaway is that the site is readable at a baseline level, but several signals that help AI systems trust, identify, and summarize it are either missing or hard to confirm. A lot of the “gaps” here are really clarity issues—things like identity verification, content framing, and reputational confirmation not coming through cleanly. Below, we’ll walk through the specific areas where the evaluation couldn’t find what it needed, organized by section so you can see the pattern. None of this is unusual, but it does explain why AI visibility may feel inconsistent right now.
Detailed Report
Discoverability
❌ Images on the homepage aren’t described
What we saw
Images were found on the homepage, but their text descriptions weren’t present (the image descriptions were empty).
Why this matters for AI SEO
When visuals aren’t described, generative engines have less context about what the page is showing and what it’s trying to communicate.
Next step
Add clear, human-readable descriptions to key homepage images so their meaning is understandable without seeing the image.
❌ Media discovery signals weren’t found
What we saw
We didn’t find any dedicated discovery files specifically for images or videos.
Why this matters for AI SEO
If media assets aren’t surfaced clearly, they can be harder for discovery systems to find and confidently associate with your site.
Next step
Create a dedicated discovery path for image and/or video assets so they’re easier to find and interpret.
Structured Data
❌ Homepage doesn’t clearly identify the entity behind the site
What we saw
The homepage included structured data, but it didn’t include an organization- or business-level identity type.
Why this matters for AI SEO
Generative engines rely on clear entity signals to connect a site to the person or organization it represents.
Next step
Add structured identity information on the homepage that explicitly represents the brand or entity behind the site.
❌ Resource/blog structured data couldn’t be evaluated
What we saw
A resource or blog page wasn’t provided for this part of the review, so we couldn’t confirm what (if any) structured data exists there.
Why this matters for AI SEO
If AI systems can’t see clear, consistent markup on content pages, it’s harder for them to extract and reuse the content with confidence.
Next step
Provide (or validate) a representative resource/blog page so its structured signals can be checked and confirmed.
❌ Author information on a resource/blog post couldn’t be verified
What we saw
Because no resource/blog page was provided in this section’s inputs, we couldn’t verify whether the author is clearly identified there.
Why this matters for AI SEO
Authorship is one of the strongest trust cues for AI systems trying to judge whether content is attributable and credible.
Next step
Make sure resource/blog pages clearly identify a specific author and include that author information in the page’s structured signals.
❌ Author identity connections couldn’t be confirmed
What we saw
We couldn’t evaluate whether author identity connections (like linked profiles) were present, since no resource/blog page was provided.
Why this matters for AI SEO
When an author’s identity isn’t consistently connected across the web, AI engines have a harder time confirming who’s behind the content.
Next step
Ensure the author’s structured identity includes clear links to official profiles where appropriate.
AI Readiness
❌ No Wikidata entity was found for the brand
What we saw
We didn’t find a Wikidata entity ID associated with the brand in the evaluation data.
Why this matters for AI SEO
Wikidata is a common reference point that helps AI systems confirm identity and reduce confusion with similar names.
Next step
Create or confirm a Wikidata entity for the brand and make sure it’s consistently associated with your official web presence.
Performance
❌ The homepage may feel sluggish to interact with
What we saw
The page showed a high amount of time where the browser was too busy to respond quickly to user input.
Why this matters for AI SEO
When pages feel unresponsive, it can hurt engagement signals and reduce how confidently systems treat the experience as high quality.
Next step
Reduce the main-thread work that delays interactivity so the homepage responds quickly when users try to scroll, tap, or click.
❌ Main content on the homepage appears too slowly
What we saw
The primary content took a long time to fully appear, which can make the page feel like it’s “loading forever,” especially on mobile.
Why this matters for AI SEO
Slow content visibility can reduce usability and overall perceived quality, which can indirectly limit how well the page performs in AI-driven discovery.
Next step
Prioritize faster rendering of the page’s main content so users see value immediately.
❌ Overall performance signals are in a low range
What we saw
The overall performance indicators for the homepage landed in a poor range compared to typical expectations.
Why this matters for AI SEO
Performance is part of the broader “quality” picture, and weak experience signals can drag down visibility even when the content itself is strong.
Next step
Improve the overall homepage experience so it loads and responds consistently well across devices.
Reputation
❌ Negative client feedback status couldn’t be confirmed
What we saw
The report packet didn’t include the consolidated reputation fields needed to confirm whether any negative client claims were affirmed.
Why this matters for AI SEO
If AI systems can’t confidently resolve brand sentiment, they tend to be more cautious about surfacing the brand in recommendations.
Next step
Collect and validate the brand sentiment signals needed to clearly confirm client reputation status.
❌ Negative employee feedback status couldn’t be confirmed
What we saw
The inputs didn’t include the reconciled fields needed to verify whether any negative employee claims were affirmed.
Why this matters for AI SEO
Unclear employment sentiment can introduce trust ambiguity, which can reduce confidence in brand mentions.
Next step
Gather the missing consolidated reputation signals so employee sentiment can be assessed consistently.
❌ Brand recognition across models couldn’t be validated
What we saw
The summary data needed to confirm broader brand recognition wasn’t included in the evaluation packet.
Why this matters for AI SEO
When recognition signals aren’t clear, AI engines have less confidence that the brand is established beyond its own site.
Next step
Compile the recognition/consensus signals that show whether the brand is consistently identified across sources.
❌ Brand identity consistency couldn’t be confirmed
What we saw
The evaluation inputs didn’t include the consensus and conflict fields required to confirm whether key brand details are consistent.
Why this matters for AI SEO
Inconsistent identity information can lead to entity confusion, which makes AI systems less likely to cite or recommend the brand.
Next step
Consolidate the brand’s core identity details so consistency can be verified across sources.
❌ Wikidata matching for the brand couldn’t be completed
What we saw
A matching status for a Wikidata entity wasn’t available, and the packet indicates a Wikidata entity wasn’t found.
Why this matters for AI SEO
Without a stable external entity reference, AI engines may struggle to confidently distinguish your brand from similar names.
Next step
Establish a Wikidata entity and ensure it clearly matches the brand’s official identity.
❌ Official identity anchors in Wikidata weren’t found
What we saw
Because no Wikidata entity was found, the supporting “official” anchors (like official website references and identifiers) couldn’t be confirmed.
Why this matters for AI SEO
These anchors help AI systems connect the dots between your site and trusted external identity sources.
Next step
Add or improve official identity anchors in a Wikidata entity so it cleanly points back to the brand.
❌ Third-party reviews or feedback couldn’t be validated
What we saw
The packet didn’t include the fields needed to confirm whether third-party reviews or customer feedback exist.
Why this matters for AI SEO
Independent feedback is a credibility signal that can influence whether AI systems present a brand as trusted.
Next step
Aggregate third-party feedback sources so review existence can be validated clearly.
❌ Review source quality couldn’t be confirmed
What we saw
We couldn’t verify whether review sources are concrete because the necessary summary fields weren’t present.
Why this matters for AI SEO
AI systems are more likely to trust reputation signals when they come from clearly identifiable, independent sources.
Next step
Document which review sources exist and ensure they’re concrete enough to be verified.
❌ Consensus on major social profiles couldn’t be validated
What we saw
Even though the homepage links to major social profiles, the evaluation packet didn’t include the consensus fields needed to confirm cross-source agreement.
Why this matters for AI SEO
When multiple sources consistently point to the same official profiles, AI engines can attribute mentions and content more confidently.
Next step
Confirm the brand’s official social profiles in a way that’s consistent and verifiable across sources.
❌ Independent press or coverage couldn’t be confirmed
What we saw
The packet didn’t include the fields needed to verify whether independent offsite coverage exists.
Why this matters for AI SEO
Independent coverage is a strong authority signal that can help AI systems treat the brand as notable and trustworthy.
Next step
Compile any independent coverage sources so their existence can be validated.
❌ Onsite press or press releases couldn’t be confirmed
What we saw
We couldn’t confirm whether onsite press or press releases exist because the relevant summary fields weren’t provided.
Why this matters for AI SEO
A clear, verifiable record of announcements and coverage helps AI systems summarize a brand accurately.
Next step
Create or validate an onsite press/coverage area so those signals can be referenced consistently.
LLM-Ready Content (Blog Analysis)
Heads up: this section looks at one article as a snapshot, so it’s a little more interpretive than the rest of the report and may shift slightly from run to run. Have questions? Just shoot us an email at hello@v9digital.com
❌ No visible publish or update date
What we saw
We didn’t find a visible publish date or update date on the page (including within structured signals).
Why this matters for AI SEO
Without clear dates, AI systems have a harder time judging how current the information is, which affects whether they’ll reuse it.
Next step
Add a clear publish date (and update date if relevant) that’s visible on the page.
❌ Content freshness can’t be verified
What we saw
Because there’s no visible update date, the content can’t be confirmed as recently maintained.
Why this matters for AI SEO
Generative engines tend to prioritize sources they can interpret as current, especially for fast-moving topics.
Next step
Include an update indicator when content is refreshed so recency is easy to confirm.
❌ Sections are broken up too thinly
What we saw
The article’s sections were relatively short on average, which can make the content feel fragmented.
Why this matters for AI SEO
When ideas are split into very small chunks, AI systems may struggle to extract complete, self-contained answers.
Next step
Rework the sectioning so each section contains a fuller idea that stands on its own.
❌ No table-based summary was found
What we saw
We didn’t detect any table that summarizes key information.
Why this matters for AI SEO
Tables can make structured takeaways easier for AI to extract, compare, and reuse accurately.
Next step
Add a simple table where it naturally helps summarize key points or comparisons.
❌ Subheadings are too generic to carry meaning
What we saw
Subheadings were present, but they were short and generic (for example, headings like “Leverage” and “Connect”).
Why this matters for AI SEO
Descriptive subheadings act like signposts for AI systems, helping them understand what each section is actually about.
Next step
Rewrite subheadings so they clearly describe the specific question or takeaway each section covers.
❌ Key answers don’t show up early enough
What we saw
Many sections don’t lead with a clear, substantive opening that quickly answers what the section is about.
Why this matters for AI SEO
AI systems often pull from early paragraphs to form summaries, so buried answers can be missed or diluted.
Next step
Adjust sections so the first paragraph quickly states the main point before going deeper.
Does Anything Seem Off?
Thanks for taking our free GEO Grader for a spin. When we started this journey, the tool had a fairly long processing time to check everything we wanted both onsite and offsite, so we made a few adjustments on the backend to speed things up. As a result, there are times when the grader may not get everything 100% right. If something feels off, we recommend running the tool a second time to confirm the results. From there, you’re always welcome to reach out to us to schedule a GEO consultation, or to have your SEO provider validate the findings with a more detailed crawl and manual review.
